skill-python-research

name: skill-python-research description: Research Python development tasks. Invoke for Python-language research. allowed-tools: Agent, Bash, Edit, Read, Write

Python Research Skill

Thin wrapper that delegates Python research to python-research-agent subagent.

Trigger Conditions

This skill activates when:

Task type is "python"
Research involves Python development
Python-specific research is needed

Execution Flow

Stage 1: Input Validation

Validate task_number exists.

Stage 2: Preflight Status Update

Update status to "researching" BEFORE invoking subagent.

Stage 3: Prepare Delegation Context

Include task_context, focus_prompt, metadata_file_path.

Stage 4: Invoke Subagent

Use Agent tool with subagent_type: "python-research-agent".

Stage 4b: Self-Execution Fallback

CRITICAL: If you performed the work above WITHOUT using the Agent tool (i.e., you read files, wrote artifacts, or updated metadata directly instead of spawning a subagent), you MUST write a .return-meta.json file now before proceeding to postflight. Use the schema from return-metadata-file.md with the appropriate status value for this operation.

If you DID use the Agent tool, skip this stage -- the subagent already wrote the metadata.

Postflight (ALWAYS EXECUTE)

The following stages MUST execute after work is complete, whether the work was done by a subagent or inline (Stage 4b). Do NOT skip these stages for any reason.

Stage 5: Parse Subagent Return

Read the metadata file from specs/{N}_{SLUG}/.return-meta.json.

Stage 6: Update Task Status (Postflight)

Update state.json and TODO.md based on result.

Stage 7: Link Artifacts

Add research artifact to state.json. Update TODO.md per @.claude/context/patterns/artifact-linking-todo.md with field_name=**Research**, next_field=**Plan**.